Smartmanufacturing Market
PUBLISHED: 2024 ID: SMRC26321
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Smartmanufacturing Market

Smart Manufacturing Market Forecasts to 2030 - Global Analysis By Component (Solution, Services, Software and Hardware), Enterprise Size (Large Enterprises and Small & Medium Enterprises), Deployment Mode (Cloud and On-Premises), Technology, End User and By Geography

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4.8 (60 reviews)
Published: 2024 ID: SMRC26321

This report covers the impact of COVID-19 on this global market
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According to Stratistics MRC, the Global Smart Manufacturing Market is accounted for $130.03 billion in 2024 and is expected to reach $376.75 billion by 2030 growing at a CAGR of 19.4% during the forecast period. Smart Manufacturing integrates advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), robotics, big data analytics, and cloud computing into manufacturing processes to enhance efficiency, flexibility, and productivity. It encompasses a holistic approach to production, where interconnected devices and systems communicate and collaborate seamlessly, enabling real-time monitoring, analysis, and decision-making. Smart Manufacturing optimizes resource utilization, reduces downtime, minimizes waste, and improves quality. It facilitates agile responses to market demands, customization, and rapid prototyping, fostering innovation and competitiveness.

According to Invest India.gov, key companies and governments worldwide invested around USD 17 billion in 2017 and are projected to invest around USD 60 billion by 2021. According to India.gov, in May 2020, the government of India invested around USD 265.0 million (20 lakh crore) as an “Economic Package.

Market Dynamics: 

Driver: 

Rising demand for customization and personalization

As consumers seek products tailored to their unique preferences and needs, manufacturers are turning to smart technologies to meet these demands efficiently. Smart manufacturing incorporates automation, data analytics, and connectivity to enable highly flexible production processes. By leveraging technologies like IoT devices, AI-driven analytics, and robotics, manufacturers can optimize production workflows, reduce waste, and streamline operations while accommodating personalized orders. This customization capability allows manufacturers to offer a diverse range of products without sacrificing efficiency or increasing costs significantly. Additionally, real-time data insights enable agile decision-making, facilitating rapid adjustments to production schedules or product designs based on changing customer preferences.

Restraint:

Initial investment costs

The initial investment costs pose a significant barrier to the widespread adoption of smart manufacturing technologies. While these technologies promise increased efficiency, productivity, and cost savings in the long run, the upfront expenses can be prohibitive for many businesses, especially smaller enterprises. Implementing smart manufacturing systems often requires substantial investments in hardware, software, infrastructure upgrades, employee training, and integration with existing systems. However, this financial outlay can deter companies from taking the leap into smart manufacturing, particularly if they are uncertain about the return on investment or lack the capital to make such a significant upfront commitment.

Opportunity:

Rising adoption of cloud technologies

The increasing adoption of cloud technologies is revolutionizing the landscape of smart manufacturing by offering unparalleled flexibility, scalability, and accessibility. Cloud platforms provide manufacturers with the ability to store and process massive amounts of data generated by connected devices and sensors in real-time, enabling advanced analytics and predictive maintenance capabilities. This seamless integration of data across the manufacturing ecosystem facilitates enhanced visibility and control over operations, leading to optimized production processes, reduced downtime, and improved overall efficiency. Moreover, cloud-based solutions enable manufacturers to deploy and manage smart manufacturing applications more cost-effectively, as they eliminate the need for large upfront investments in IT infrastructure and maintenance.

Threat:

Cybersecurity concerns

As industries increasingly adopt interconnected technologies and IoT devices to streamline operations, they become more susceptible to cyber threats. The integration of these technologies creates numerous entry points for malicious actors to exploit, potentially leading to data breaches, operational disruptions, and even physical harm. Manufacturers are thus compelled to invest substantial resources in securing their digital infrastructure, diverting funds and attention away from innovation and expansion efforts. However, the fear of cyber attacks can deter businesses from fully embracing smart manufacturing solutions, fearing the repercussions of a security breach.

Covid-19 Impact: 

Initially, the outbreak disrupted global supply chains, causing production delays and shortages of critical components for smart manufacturing systems. Lockdown measures enforced to contain the virus led to reduced factory operations and manpower shortages, affecting the implementation of smart manufacturing technologies. However, the crisis also accelerated the adoption of automation and digitalization in manufacturing processes. With the need to maintain operations amidst social distancing protocols, companies increasingly turned to smart manufacturing solutions to enhance efficiency, flexibility, and resilience.

The Large Enterprises segment is expected to be the largest during the forecast period

Large enterprises segment is expected to hold the largest share of the smart manufacturing market through their significant investments in advanced technologies and resources. Their adoption of smart manufacturing solutions not only streamlines production processes but also drives innovation and efficiency across the entire value chain. Their substantial financial resources enable them to implement large-scale smart manufacturing initiatives, paving the way for industry-wide advancements and standards. Additionally, large enterprises often serve as influential early adopters, showcasing the benefits of smart manufacturing solutions and encouraging wider industry adoption.

The On-Premises segment is expected to have the highest CAGR during the forecast period

On-Premises segment is expected to have the highest CAGR during the forecast period by providing companies with greater control, security, and flexibility in their manufacturing processes. By utilizing on-premises solutions, manufacturers can deploy smart technologies directly within their facilities, enabling real-time monitoring, analysis, and optimization of production operations. This approach allows for seamless integration with existing infrastructure, ensuring minimal disruption to workflows while maximizing efficiency gains. Additionally, on-premises solutions offer heightened data privacy and security, vital for industries with stringent regulatory requirements or proprietary information.

Region with largest share:

North America region commanded the largest share of the market over the projection period. IoT technology enables interconnectedness and data exchange among various devices and systems within manufacturing processes, leading to increased automation, efficiency, and productivity across the region. In North America, industries are embracing IoT-driven smart manufacturing solutions to optimize operations, improve decision-making, and enhance overall competitiveness. Through IoT-enabled sensors, machines, and analytics platforms, manufacturers can gather real-time data on equipment performance, supply chain logistics, and product quality, enabling predictive maintenance and proactive adjustments to production processes throughout the region.

Region with highest CAGR:

Europe region is poised to hold lucrative growth throughout the extrapolated period. With a focus on sustainability, efficiency, and technological advancement, regulatory bodies are implementing policies that incentivize the regional adoption of smart manufacturing practices. These regulations often include directives for energy efficiency, waste reduction, and the integration of digital technologies such as IoT, AI, and automation throughout the region. By mandating compliance with these standards, governments are fostering a competitive environment that encourages innovation and investment in smart manufacturing solutions in the region. 

Key players in the market

Some of the key players in Smart Manufacturing market include ABB Group, General Electric, Hexagon AB, Honeywell International, IBM Corporation, Intel Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Oracle Corporation, Rockwell Automation, Schaeffler AG, Schneider Electric, Siemens AG and Toshiba Corporation.

Key Developments:

In June 2023, Schneider Electric partnered with ArcelorMittal Nippon Steel India for hi-tech training on smart manufacturing. The partnership also includes smart labs and training labs for NAMTECH, an education initiative by AM/NS India, which will be developed by Schneider Electric.

In April 2023, Honeywell International, Inc. acquired Compressor Controls Corporation (CCC), a provider of turbomachinery control and optimization solutions, for USD 670 million. This acquisition is expected to strengthen their presence in automation, industrial control, and process solutions.

In April 2023, Robert Bosch GmbH partnered with Rhenus Automotive and REMONDIS subsidiary TSR Recycling, to develop Europe’s first fully automated battery-discharging plant. The plant will be a fully automated system for disassembling and discharging battery modules, which is expected to augment the industry growth further.

Components Covered:
• Solution
• Services 
• Software
• Hardware

Enterprise Sizes Covered:
• Large Enterprises
• Small & Medium Enterprises

Deployment Modes Covered:
• Cloud
• On-Premises

Technologies Covered:
• Plant Asset Management
• Enterprise Resource Planning
• Human Machine Interface
• Other Technologies

End Users Covered:
• Aerospace and Defense
• Automotive
• Chemicals
• Electronics and Semiconductors
• Pharmaceuticals
• Transportation
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings: 
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary     
      
2 Preface     
 2.1 Abstract    
 2.2 Stake Holders    
 2.3 Research Scope    
 2.4 Research Methodology    
  2.4.1 Data Mining   
  2.4.2 Data Analysis   
  2.4.3 Data Validation   
  2.4.4 Research Approach   
 2.5 Research Sources    
  2.5.1 Primary Research Sources   
  2.5.2 Secondary Research Sources   
  2.5.3 Assumptions   
      
3 Market Trend Analysis     
 3.1 Introduction    
 3.2 Drivers    
 3.3 Restraints    
 3.4 Opportunities    
 3.5 Threats    
 3.6 Technology Analysis    
 3.7 End User Analysis    
 3.8 Emerging Markets    
 3.9 Impact of Covid-19    
      
4 Porters Five Force Analysis     
 4.1 Bargaining power of suppliers    
 4.2 Bargaining power of buyers    
 4.3 Threat of substitutes    
 4.4 Threat of new entrants    
 4.5 Competitive rivalry    
      
5 Global Smart Manufacturing Market, By Component     
 5.1 Introduction    
 5.2 Solution    
 5.3 Services    
  5.3.1 Professional Services   
  5.3.2 Managed Services   
 5.4 Software    
 5.5 Hardware    
      
6 Global Smart Manufacturing Market, By Enterprise Size     
 6.1 Introduction    
 6.2 Large Enterprises    
 6.3 Small & Medium Enterprises    
      
7 Global Smart Manufacturing Market, By Deployment Mode     
 7.1 Introduction    
 7.2 Cloud    
  7.2.1 Private Cloud   
  7.2.2 Public Cloud   
  7.2.3 Hybrid Cloud   
 7.3 On-Premises    
      
8 Global Smart Manufacturing Market, By Technology     
 8.1 Introduction    
 8.2 Plant Asset Management    
 8.3 Enterprise Resource Planning    
 8.4 Human Machine Interface    
 8.5 Other Technologies    
      
9 Global Smart Manufacturing Market, By End User     
 9.1 Introduction    
 9.2 Aerospace and Defense    
 9.3 Automotive    
 9.4 Chemicals    
 9.5 Electronics and Semiconductors    
 9.6 Pharmaceuticals    
 9.7 Transportation    
 9.8 Other End Users    
      
10 Global Smart Manufacturing Market, By Geography     
 10.1 Introduction    
 10.2 North America    
  10.2.1 US   
  10.2.2 Canada   
  10.2.3 Mexico   
 10.3 Europe    
  10.3.1 Germany   
  10.3.2 UK   
  10.3.3 Italy   
  10.3.4 France   
  10.3.5 Spain   
  10.3.6 Rest of Europe   
 10.4 Asia Pacific    
  10.4.1 Japan   
  10.4.2 China   
  10.4.3 India   
  10.4.4 Australia   
  10.4.5 New Zealand   
  10.4.6 South Korea   
  10.4.7 Rest of Asia Pacific   
 10.5 South America    
  10.5.1 Argentina   
  10.5.2 Brazil   
  10.5.3 Chile   
  10.5.4 Rest of South America   
 10.6 Middle East & Africa    
  10.6.1 Saudi Arabia   
  10.6.2 UAE   
  10.6.3 Qatar   
  10.6.4 South Africa   
  10.6.5 Rest of Middle East & Africa   
      
11 Key Developments     
 11.1 Agreements, Partnerships, Collaborations and Joint Ventures    
 11.2 Acquisitions & Mergers    
 11.3 New Product Launch    
 11.4 Expansions    
 11.5 Other Key Strategies    
      
12 Company Profiling     
 12.1 ABB Group    
 12.2 General Electric    
 12.3 Hexagon AB    
 12.4 Honeywell International    
 12.5 IBM Corporation    
 12.6 Intel Corporation    
 12.7 Microsoft Corporation    
 12.8 Mitsubishi Electric Corporation    
 12.9 Oracle Corporation    
 12.10 Rockwell Automation    
 12.11 Schaeffler AG    
 12.12 Schneider Electric    
 12.13 Siemens AG    
 12.14 Toshiba Corporation    
      
List of Tables      
1 Global Smart Manufacturing Market Outlook, By Region (2022-2030) ($MN)     
2 Global Smart Manufacturing Market Outlook, By Component (2022-2030) ($MN)     
3 Global Smart Manufacturing Market Outlook, By Solution (2022-2030) ($MN)     
4 Global Smart Manufacturing Market Outlook, By Services (2022-2030) ($MN)     
5 Global Smart Manufacturing Market Outlook, By Professional Services (2022-2030) ($MN)     
6 Global Smart Manufacturing Market Outlook, By Managed Services (2022-2030) ($MN)     
7 Global Smart Manufacturing Market Outlook, By Software (2022-2030) ($MN)     
8 Global Smart Manufacturing Market Outlook, By Hardware (2022-2030) ($MN)     
9 Global Smart Manufacturing Market Outlook, By Enterprise Size (2022-2030) ($MN)     
10 Global Smart Manufacturing Market Outlook, By Large Enterprises (2022-2030) ($MN)     
11 Global Smart Manufacturing Market Outlook, By Small & Medium Enterprises (2022-2030) ($MN)     
12 Global Smart Manufacturing Market Outlook, By Deployment Mode (2022-2030) ($MN)     
13 Global Smart Manufacturing Market Outlook, By Cloud (2022-2030) ($MN)     
14 Global Smart Manufacturing Market Outlook, By Private Cloud (2022-2030) ($MN)     
15 Global Smart Manufacturing Market Outlook, By Public Cloud (2022-2030) ($MN)     
16 Global Smart Manufacturing Market Outlook, By Hybrid Cloud (2022-2030) ($MN)     
17 Global Smart Manufacturing Market Outlook, By On-Premises (2022-2030) ($MN)     
18 Global Smart Manufacturing Market Outlook, By Technology (2022-2030) ($MN)     
19 Global Smart Manufacturing Market Outlook, By Plant Asset Management (2022-2030) ($MN)     
20 Global Smart Manufacturing Market Outlook, By Enterprise Resource Planning (2022-2030) ($MN)     
21 Global Smart Manufacturing Market Outlook, By Human Machine Interface (2022-2030) ($MN)     
22 Global Smart Manufacturing Market Outlook, By Other Technologies (2022-2030) ($MN)     
23 Global Smart Manufacturing Market Outlook, By End User (2022-2030) ($MN)     
24 Global Smart Manufacturing Market Outlook, By Aerospace and Defense (2022-2030) ($MN)     
25 Global Smart Manufacturing Market Outlook, By Automotive (2022-2030) ($MN)     
26 Global Smart Manufacturing Market Outlook, By Chemicals (2022-2030) ($MN)     
27 Global Smart Manufacturing Market Outlook, By Electronics and Semiconductors (2022-2030) ($MN)     
28 Global Smart Manufacturing Market Outlook, By Pharmaceuticals (2022-2030) ($MN)     
29 Global Smart Manufacturing Market Outlook, By Transportation (2022-2030) ($MN)     
30 Global Smart Manufacturing Market Outlook, By Other End Users (2022-2030) ($MN)     
      
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.        

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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